Neural Comp. NEW Faster Access
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
QUICK SEARCH:   [advanced]


     

This Article
Right arrow Full Text (PDF)
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Elliott, T.
Right arrow Articles by Shadbolt, N. R.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Elliott, T.
Right arrow Articles by Shadbolt, N. R.

Neural Computation, Vol 10, 1939-1981, Copyright © 1998 by The MIT Press

ARTICLES

Competition for Neurotrophic Factors: Mathematical Analysis

T. Elliott and N. R. Shadbolt

Neurotrophic factors, particularly the neurotrophin gene family of neurotrophic factors, are implicated in activity-dependent anatomical plasticity in the visual cortex and at the neuromuscular junction. Accumulating evidence implicates neurotrophic factors as possible mediators of activity-dependent competition between afferents, leading to the segregation of afferents' arbors on the target space. We present a biologically plausible mathematical model of competition for neurotrophic factors. We showthat the model leads to anatomical segregation, provided that the levels of neurotrophic factors released in an activity-independent manner, or the levels available by exogenous infusion, are below a critical value, which we derive. Above this critical value, afferent segregation breaks down. We also show that the model segregates afferents even in the presence of very highly correlated patterns of afferent activity. The model is therefore ideally suited for application to the development of ocular dominance columns in the kitten visual cortex.


This article has been cited by other articles:


Home page
 Neural Comput.Home page
T. Elliott
An Analysis of Synaptic Normalization in a General Class of Hebbian Models
Neural Comput., April 1, 2003; 15(4): 937 - 963.
[Abstract] [Full Text] [PDF]

Home page
 Neural Comput.Home page
T. Elliott and J. Kramer
Coupling an aVLSI Neuromorphic Vision Chip to a Neurotrophic Model of Synaptic Plasticity: The Development of Topography
Neural Comput., October 1, 2002; 14(10): 2353 - 2370.
[Abstract] [Full Text]

Home page
 Neural Comput.Home page
T. Elliott and N. R. Shadbolt
Multiplicative Synaptic Normalization and a Nonlinear Hebb Rule Underlie a Neurotrophic Model of Competitive Synaptic Plasticity
Neural Comput., June 1, 2002; 14(6): 1311 - 1322.
[Abstract] [Full Text]

Home page
 J. Neurosci.Home page
M. J. Barber and J. W. Lichtman
Activity-Driven Synapse Elimination Leads Paradoxically to Domination by Inactive Neurons
J. Neurosci., November 15, 1999; 19(22): 9975 - 9985.
[Abstract] [Full Text] [PDF]

Home page
 J. Neurosci.Home page
T. Elliott and N. R. Shadbolt
A Neurotrophic Model of the Development of the Retinogeniculocortical Pathway Induced by Spontaneous Retinal Waves
J. Neurosci., September 15, 1999; 19(18): 7951 - 7970.
[Abstract] [Full Text] [PDF]

Home page
 Proc. Natl. Acad. Sci. USAHome page
B. S. Blais, H. Z. Shouval, and L. N. Cooper
The role of presynaptic activity in monocular deprivation: Comparison of homosynaptic and heterosynaptic mechanisms
PNAS, February 2, 1999; 96(3): 1083 - 1087.
[Abstract] [Full Text] [PDF]


HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
J COGNITIVE NEUROSCIENCE NEURAL COMPUTATION MIT PRESS JOURNALS
Copyright © 1998 by The MIT Press.